Lead Full Stack Data Engineer - Vice President

Citi Handlowy

Canada
Base: $120,800.00 - $170,800.00; bonus/equity: not...
**
6+ years senior lead data engineering experience
Expert python and pyspark development skills
Apache spark ecosystem and hive mastery
** Citi Handlowy is seeking a Lead Full Stack Data Engineer for a senior role that combines hands-on engineering with leadership responsibilities. The ideal candidate will have extensive experience in data engineering, particularly with AI integration, and will play a crucial role in shaping data solutions and mentoring junior engineers. **

Job Summary

  • This senior role seeks a hands-on player/coach to lead the design, development, and optimization of end-to-end data solutions from ingestion to advanced consumption.
  • The ideal candidate will drive strategic initiatives within small co-located squads while actively leveraging AI coding tools to set new benchmarks for productivity and code quality.
  • Candidates must demonstrate expert proficiency in Python, PySpark, and Apache Kafka to architect scalable systems capable of handling petabyte-scale datasets.

Matching Summary

Match Score: 75

** Citi Handlowy is seeking a Lead Full Stack Data Engineer for a senior role that combines hands-on engineering with leadership responsibilities. The ideal candidate will have extensive experience in data engineering, particularly with AI integration, and will play a crucial role in shaping data solutions and mentoring junior engineers. **

Salary

Base: $120,800.00 - $170,800.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • 6+ years Senior Lead Data Engineering experience
  • Expert Python and PySpark development skills
  • Apache Spark ecosystem and Hive mastery
  • Distributed file systems HDFS and S3 knowledge
  • Enterprise NoSQL databases Cassandra MongoDB
  • Apache Kafka real-time streaming architecture
  • AI-first mindset with coding tool integration

Nice-to-have

  • Mentoring junior and mid-level engineers
  • Strategic data product ownership
  • Cloud-native architectural patterns
  • Containerization Docker Kubernetes expertise
  • Advanced CI/CD pipeline implementation
  • RESTful API design and integration
  • Cross-functional stakeholder engagement

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 6+ years progressive hands-on experience as Senior/Lead Data Engineer
  • Master-level SQL proficiency and data warehousing concepts
  • Proven track record of architecting complex large-scale data solutions

Work Rights

Not specified

Tailored Resume

Cover Letter